RStudio for Business Analysis
July 18, 2022

RStudio for Business Analysis

Anonymous | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User

Overall Satisfaction with RStudio

We use RStudio as an analysis tool to perform complex data analysis problems and scenarios. We build different statistical models to understand business data and perform forecasts. It has good visualizations and is a very flexible tool. As Business Analyst it is a good tool to understand big data in the organization.
  • Visualization tool
  • Statistical Analysis
  • Forecasting
  • More flexibility to import tamplates for the visuals
  • More documentation about the formulas
  • More coding automation
  • It was easy to access and share models
  • We create good models to explain business behavior
  • The open source version is powerful
RStudio is better than python for visualizations but it is less common to use it in many organizations. Excel and PowerBI are better for visualization but, they can only be used for simple models. I would choose R Studio for statistical analysis, ML, or DL because the language is designed for this kind of analysis. Also, R Studio is the best for data gathering.

Do you think Posit delivers good value for the price?

Yes

Are you happy with Posit's feature set?

Yes

Did Posit live up to sales and marketing promises?

I wasn't involved with the selection/purchase process

Did implementation of Posit go as expected?

Yes

Would you buy Posit again?

Yes

RStudio is appropriate to perform complex analysis and data modeling exercises while is not that useful where the analysis is simple due to complexity where Excel will better suit. Also, if your organization is not used to it, probably, is better to use other software. Any kind of statistical analysis like regressions or decision trees would be a very good option to model with R Studio.

Posit Feature Ratings

Connect to Multiple Data Sources
9
Extend Existing Data Sources
8
Automatic Data Format Detection
6
Visualization
7
Interactive Data Analysis
10
Interactive Data Cleaning and Enrichment
8
Data Transformations
10
Multiple Model Development Languages and Tools
6
Single platform for multiple model development
9
Self-Service Model Delivery
Not Rated
Flexible Model Publishing Options
Not Rated
Security, Governance, and Cost Controls
Not Rated